摘要
住房本是民生之本,但近年来不断上涨的房价让许多购房者望而却步。探究高房价背后的原因,让住房回归本身的居住功能,稳定房价是当前房地产市场的重要目标。文章应用2005~2019年我国共15年的数据,利用Stata软件分析了中国房地产价格的影响因素。文章从需求和供给层面共选取了5个解释变量,并结合中国房地产的实际提出相应假说,运用嵌套模型进行实证分析。实证结果显示,房价上涨的推动力主要来源于居民消费水平、土地购置费用和住房销售面积,最后文章依据分析结果提出了相应的对策建议。
Housing is the foundation of people’s livelihood, but in recent years, the rising housing price makes many buyers back. It is an important goal of the current real estate market to explore the reasons behind the high housing price, return the housing to its living function and stabilize the housing price. This paper analyzes the influencing factors of China’s real estate prices by using Stata software based on 15 years of data from 2005 to 2019. In this paper, five explanatory variables are selected from the demand and supply levels, and corresponding hypotheses are proposed based on the actual situation of Chinese real estate, and empirical analysis is carried out with nested model. The empirical results show that the driving force of housing price rise mainly comes from residents’ consumption level, land purchase cost and housing sales area. Finally, the paper puts forward corresponding countermeasures and suggestions according to the analysis results.
出处
《应用数学进展》
2022年第4期1503-1511,共9页
Advances in Applied Mathematics
